Real-time pattern recognition with FPGA at LHCb, an <i>O</i>(<i>n</i>) complexity architecture
The LHCb collaboration is planning an upgrade (LHCb “Upgrade- II”) to collect data during Run 5 at an instantaneous luminosity an order of magnitude larger than the current one (Run 3). LHCb relies on a complete realtime reconstruction of all collision events at LHC-Point 8, which will have to cope with both the luminosity increase and the introduction of correspondingly more granular and complex detectors. After an intensive R&D programme, LHCb approved a FPGA-based system to pre-reconstruct tracks in the SciFi detector at readout level during Run 4, as an intermediate step towards a system that could be extended to other tracking detectors in the future. It is based on the “artificial retina”, an extremely parallel architecture. Using simulated data, the performance of a hardware demonstrator of this architecture has been tested as a function of instantaneous luminosity and system size, and was found to have O( n ) complexity, which is a crucial feature for high luminosity applications.
Authors
- G. Punzi (ORCID: https://orcid.org/0000-0002-8346-9052)
- J. He (ORCID: https://orcid.org/0000-0002-1465-0077)
- B. K. Jashal (ORCID: https://orcid.org/0000-0002-0025-4663)
- A. Contu (ORCID: https://orcid.org/0000-0002-3545-2969)
- G. Tuci (ORCID: https://orcid.org/0000-0002-0364-5758)
- F. Lazzari (ORCID: https://orcid.org/0000-0002-3151-3453)
- Francesco Terzuoli (ORCID: https://orcid.org/0000-0002-9717-225X)
- A. Xu (ORCID: https://orcid.org/0000-0002-8521-1688)
- Q. Shi (ORCID: https://orcid.org/0000-0001-7915-8211)
- J. Zhuo (ORCID: https://orcid.org/0000-0002-6227-3368)
- Lorenzo Pica
- Maurizio Martinelli
- R. Fantechi
- A. Oyanguren (ORCID: https://orcid.org/0000-0002-8240-7300)
- M. J. Morello (ORCID: https://orcid.org/0000-0003-4190-1078)
Institutions
- University of Siena (IT)
- University of Pisa (IT)
- Rutherford Appleton Laboratory (GB)
- Consejo Superior de Investigaciones Científicas (ES)
- Scuola Normale Superiore (IT)
- Universitat de València (ES)
- Heidelberg University (DE)
- Unidades Centrales Científico-Técnicas (ES)
- Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Milano (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT)
- University of Chinese Academy of Sciences (CN)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701311
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00